nanoT5 v2 - In ~16 hours on a single GPU, we reach similar performance to the model trained on 150x more data!

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Inspired by Andrej Karpathy's nanoGPT we improve the repo for pre-training T5 model in PyTorch. In ~16 hours on a single GPU, we achieve 40.7 RougeL on the SNI benchmark, compared to 40.9 RougeL of the original model pre-trained on 150x more data!

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